該文章用iNose電子鼻進(jìn)行實(shí)驗，開(kāi)展了如下實(shí)驗。

【摘要】本研究旨在開(kāi)發(fā)一種基于電子鼻和電子舌試驗及其組合的快速簡(jiǎn)便的方法來(lái)追蹤在中國種植的黑果枸杞（LRM）的地理來(lái)源，收獲年份和品種。應用主成分分析（PCA）和線(xiàn)性判別分析（LDA）進(jìn)行定性分類(lèi)和定量預測。結果表明：電子鼻和電子舌的測定及其組合未能識別LRM的收獲年份和種類(lèi)，但是在追蹤LRM地理來(lái)源方面取得了可靠的結果，總分類(lèi)能力分別為86.4％，86.8％和92.6％。除此之外，與儀器分析或傳統方法如化學(xué)分析方法和感官評估相比，分析程序需要更短的時(shí)間和更少的化學(xué)試劑。這項研究表明，多變量統計分析結合電子鼻和電子舌測定可能是一個(gè)可靠簡(jiǎn)便的追蹤LRM地理起源的方法。

【關(guān)鍵詞】電子鼻；氣味指紋分析系統；氣體分析儀；質(zhì)構儀；電子舌；氣味分析儀；離子遷移譜；生物芯片；3D打印機；肉嫩度儀；物性測試儀；凝膠強度測定儀；微量過(guò)濾系統

【ABSTRACT】：This study aims to develop a fast and simple method to trace the geographical origins, harvest years and varieties of Lycium ruthenicum Murray (LRM) grown in China by employing e-nose and e-tongue assays and their combination.

Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied for qualitative classification and quantitative prediction. The results showed that e-nose and e-tongue assays and their combination failed to recognize harvest years and varieties of LRM, but achieved reliable results for tracing LRM geographical origins with a total classification ability of 86.4%, 86.8% and 92.6% respectively. In addition, the analysis procedure required shorter time and less chemical reagents as compared to high-end instrumental analysis or traditional methods like chemical analytical methods and sensory evaluation. This study demonstrated that the m*riate statistical analysis combined with e-nose and e-tongue assays could be a reliable and simplified method of tracing the geographical origins of LRM。